Facebook AI Research's Automatic Speech Recognition Toolkit

SOVA ASR (Automatic Speech Recognition)

An opensource speech-to-text software written in tensorflow

A fully convolution-network for speech-to-text, built on pytorch.

Speech-to-text based on wav2letter built for transfer learning

Speech Recognition model based off of FAIR research paper built using Pytorch.

automatically align transcribed audio and generate a wav2letter training corpus

Wave2vec 2.0 Recognize pipeline

An implementation of the Wav2Letter Speech-to-Text model using PyTorch.

PyTorch speech2text inference script for the NVidia openseq2seq wav2letter model variant

A "realtime" Wav2Letter frontend that uses PulseAudio for speach input

wav2letter decoder

Swift port of the featurization portion FAIR's wav2letter++

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Dockerfile for CPU version of Facebook Research wav2letter Application

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End-to-end Automatic Speech Recognition (ASR) and disfluency removal using fine-tuned HuBERT acoustic embeddings and wav2letter++ CTC decoder.

Wav2letter++ on Swedish corpus

Wav2Letter in Tensorflow 2.

rock5b running armnn wav2letter GpuAcc & CpuAcc exaples

wav2letter model that outputs the hiragana or katakana transcript of a Japanese language utterance

Facebook AI Research Automatic Speech Recognition Toolkit

Nix derviations for building wav2letter++

wav2letter++ 的实验记录

Facebook AI Research Automatic Speech Recognition Toolkit

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wav2letter++ on TVM & VTA

simple Wav2Letter implement with Tensorflow

build quartznet model with flashlight for wav2letter

run FB speech recognition wav2letter project in container using python code.